Transforming Telecommunications with Causal AI

The Causal AI approach: Causal AI identifies the root causes of network outages and inefficiencies, allowing for precise interventions to prevent future issues. It helps prioritize customer support inquiries and determines the optimal investment areas to enhance network quality. Additionally, it assesses the impact of poor network experiences on customer complaints and churn.

Why this matters: Understanding the root causes of network issues and their effects on customer satisfaction is crucial for maintaining a competitive edge. By leveraging Causal AI, telecommunications providers can make informed decisions to improve network performance, reduce churn, and ensure a better overall customer experience.

The Causal AI approach: Causal AI identifies the causal drivers of conversions and evaluates the impact of competitor pricing on customer decisions. It helps determine the price elasticities of products and suggests precise interventions in promotion strategies to optimize for customer lifetime value (LTV).

Why this matters: Understanding the causal drivers of conversions and customer decisions is crucial for maximizing revenue. By leveraging Causal AI, businesses can implement targeted actions to optimize pricing, enhance promotion strategies, and improve customer LTV, leading to sustained growth and competitive advantage.

The Causal AI approach: Causal AI identifies the causal drivers of campaign performance, attributing customers to channels while accounting for confounders. It enables interventions and determines the incremental impact of increased spend on each channel, helping allocate the optimal investment across channels within a given budget.

Why this matters: Understanding the causal drivers of campaign performance is crucial for maximizing marketing ROI. By leveraging Causal AI, businesses can make informed decisions, optimize channel investments, and improve overall campaign effectiveness, leading to better customer engagement and higher revenue.

The Causal AI approach: Causal AI identifies the optimal investments to meet sales and profit targets while enhancing customer experience. It evaluates the impact of competitive, market, and macroeconomic dynamics on P&L and assesses how pricing, marketing, and supply chain decisions affect overall business performance, ensuring informed and balanced decision-making. Our platform does this by utilising your existing data and a structured causal model that you build in the discovery process.